A cross-validation deletion-substitution-addition model selection algorithm: application to marginal structural models

DOI10.1016/j.csda.2010.02.002zbMath1284.62034OpenAlexW2082367192WikidataQ34652338 ScholiaQ34652338MaRDI QIDQ2445763

Ira B. Tager, Yue Wang, Thaddeus J. Haight, Mark J. Van der Laan

Publication date: 14 April 2014

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2010.02.002

zbMATH Keywords

cross-validationmachine learningmarginal structural modelscardiovascular mortalitylung function

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04)

Related Items (2)

Special issue on variable selection and robust procedures ⋮ On model selection and model misspecification in causal inference

Uses Software

• R
• cvDSA
• bootstrap

Cites Work

• Unnamed Item
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• Comment: Understanding OR, PS and DR
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• Association, causation, and marginal structural models.
• Data-adaptive estimation of the treatment-specific mean
• A practical illustration of the importance of realistic individualized treatment rules in causal inference
• Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data
• The cross-validated adaptive epsilon-net estimator
• Estimation of Controlled Direct Effects
• Analysis of longitudinal marginal structural models

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